Jian Kang
Assistant Professor of Statistics and Data Science, and Computer Science
Research Interests
Professor Kang's research aims to model and understand the interconnected world, primarily with graphs. It mainly investigates the following questions in three big themes:
- Data: Where do the data come from? What is the optimal data for a learning task?
- Model: Can we trust the model outputs?
- Task: How to let a learning model solve complicated real-world tasks?
Prior to joining MBZUAI, Professor Kang received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign and was recognized as a Rising Star in Data Science by The University of Chicago and Mavis Future Faculty Fellow by the University of Illinois Urbana-Champaign. Professor Kang serves as OpenReview Chair of LoG 2025, Guest Editor of Generative Search and Recommendation of Frontiers in Big Data, Proceedings Chair of CIKM 2025, and Web Chair of KDD 2024.
- Ph.D. in Computer Science, University of Illinois Urbana-Champaign, USA
- Master of Computer Science, University of Virginia, USA
- Keynote speaker, The 4th International Workshop on Databases and Machine Learning, 2025;
- Keynote speaker, GNN for the Sciences: From Theory to Practice, 2024;
- Rising Stars in Data Science, University of Chicago, 2022;
- Mavis Future Faculty Fellowship, University of Illinois Urbana-Champaign, 2022;
- Keynote speaker, The 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications, 2022;
- Finalist, Apple Scholar in AI/ML, 2022
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